Towards bottom-up SHERPA and RIAT+ in Slovenia Slovenian - PowerPoint PPT Presentation

Towards bottom-up SHERPA and RIAT+ in Slovenia Slovenian Environment Agency Marko Rus, Rahela Žabkar, Don Ciglenečki, Luka Matavž and Damijan Bec

LIFE-IP PREPAIR - Po Regions Engaged to Policies of Air Action C3: Establishment of a system for integrated assesment of the impact of activities and measures in the Po valley regions and Slovenia. SHERPA ALADIN-SI/CAMx RIAT+ SHERPA SRR model: Current resolution: 7 km Resolution in preparation: 4.4 km Planed: 1 km

Geographical Situation • Complex montainous terain • Low wind speed conditions in basins and valleys • Frequent long- lasting temperature inversions

Main Sources of Pollution Celje < 50 ug/m 3 Celje > 50 ug/m 3 5% 6% 17% 36% 26% 49% 29% 32% Example: Analysis for 4.11.2010 – 8.2.2011 in Celje station, days with exceedances have much higher contribution of wood burning (Positive Matrix Factorization (PMF) receptor model) • Widespread use of wood for domestic heating • High PM 10 values caused primarly by local conditions

Resu sults fr from the curr rrent SHERPA dis istribution Source allocation, Po valley: Source allocation, Slovenia:

Example: Ljubljana Source allocation, Slovenia, for a cell inside Ljubljana: Governance control for the same cell:

Example: Ljubljana CAMS Source-Receptor forecast calculation for the period between 8 th and 11 th February 2018 Source: Interim Annual Assesment Report for 2018, Copernicus Athmosphere Monitoring Services

ALADIN-SI/CAMx ALADIN-SI Po Basin emission Chemical boundary Meteorology conditions (C-IFS) inventory (PREPAIR) Land cover, leaf area Slovenia emission index inventory (PREPAIR) CAMx Emissions outside Ozone column PREPAIR region (TNO/MACC-III) Concentration fields

Source Receptor Relationships 𝑄𝑠𝑓𝑑 𝑂 𝑞 𝛦𝐹 𝑗 𝑞 𝛦𝐷 𝑘 = ෍ ෍ 𝑏 𝑗𝑘 𝑞 𝑗 𝒒 𝑞 = 𝜷 𝒌 𝒒 1 + 𝑒 𝑗𝑘 −𝝏 𝒌 𝑏 𝑗𝑘 Prec = num. of precursors Using the results from ALADIN-SI/CAMx, 𝒒 and 𝝏 𝒌 𝒒 connecting the coefficients 𝜷 𝒌 𝑒 𝑗𝑘 = distance between source cell i and receptor cell j fields in the SHERPA model will be computed. 𝒒 and 𝝏 𝒌 𝒒 will be used The coefficients 𝜷 𝒌 also to run RIAT+.

ALADIN-SI/CAMx - results Yearly average PM 10 concetrations 2016:

ALADIN-SI/CAMx - results Yearly average PM 10 concetrations in 2016: Difference between the basecase and the caseof 50 % reduction of NO x , SO x , VOC, NH 3 , PM 10 :

ALADIN-SI/CAMx - results Yearly average PM 10 concetrations in 2016: Difference between the basecase and the caseof 50 % reduction of PM 10 :

SHERPA: PM 10 delta concentrations: 50% reduction of PM 10 Results in Po Valley (above) are similar, but in Slovenia the ALADIN-SI/CAMx shows much stronger reduction. max. Value 6 µg/m 3

ALADIN-SI/CAMx - results Yearly average NO 2 concetrations in 2016:

ALADIN-SI/CAMx - results Yearly average NO 2 concetrations in 2016: Difference between the basecase and the case of 50 % reduction of NO x , SO x , VOC, NH 3 , PM 10 :

SHERPA: NO 2 delta concentrations: 50% reduction of NO x , SO x , VOC, NH 3 , PM 10 max. Value 22 µg/m 3

Thank you for your attention.